Backtest and trade on point-in-time, ticker-mapped signals.
Used by quant funds
7 listings tagged by providers for this use case
Consolidated 1-minute OHLCV bars and official end-of-day prices for every US-listed stock, ETF and ADR, including delisted names, with splits, dividends and symbol changes.
Daily aggregated debit and credit card spend for 42,000 UK merchants from a de-identified panel of 2.4 million consumers, mapped point in time to 640 listed tickers since 2017.
As-reported and standardized income statement, balance sheet and cash-flow data for about 45,000 listed companies in 70 countries, with every restatement kept point in time.
Point-in-time weekly hiring signals for 4,200 listed companies with US or Canadian hiring: new, removed and active postings and function mix, mapped to tickers since 2017.
Volume-weighted reference rates for 600 digital assets against USD, EUR and stablecoins, plus top-of-book and 10-level order-book snapshots from 25 exchanges.
Daily consensus EPS, revenue and EBITDA estimates with revision counts, dispersion and earnings surprises for about 18,000 companies, kept point in time since 2008.
End-of-day settlement prices and forward curves for 1,400 power, gas, coal, carbon, oil and base-metal contracts, normalised to one schema with history back to 2012.
Quantitative trading turns data into systematic signals that are backtested and then traded with defined risk. The data bar is higher than for discretionary research, because every bias in the history ends up in the backtest.
Stock market data provides the prices, volumes and corporate actions every strategy depends on, from end-of-day bars to tick data. Alternative data adds signals that may lead fundamentals, provided they are mapped to tickers and delivered point-in-time. Earnings and analyst estimates supply consensus expectations, revisions and surprises, which are among the most studied inputs in systematic equity strategies.
Ask whether history is point-in-time or restated, how delisted securities are handled, how identifiers change over time and what delivery latency to expect. Check that corporate actions are applied consistently, that timestamps carry time zones and that the live feed matches the history format exactly.
Last reviewed on 11 Nov 2026
Describe the result you are after and the data you think you need. Providers reply with proposals and samples.